NLP: Natural Language Processing in R
The training introduces participants to advanced natural language processing techniques using the R environment, combining statistical approaches to text analysis with the latest advances in machine learning. The program is designed to enable participants to take advantage of the rich capabilities of the R ecosystem for analyzing text data and visualizing results. Classes are conducted in the form of interactive workshops, where theory is immediately translated into practical implementations using real text datasets. The course places particular emphasis on the use of statistical approaches to NLP and integration with other analytical tools.
Issues
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Text processing in R
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Text mining and corpus analysis
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Thematic modeling
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Sentiment analysis
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Text visualization
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Machine learning in NLP
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Word embeddings
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Validation of models
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Reporting of results
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Integration with deep learning
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Document exploration
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Recommendation systems
Benefits
- Upon completion of the training, the participant will be able to independently perform advanced text analysis in the R environment
- The ability to use statistical methods to extract information from text data
- Will be able to create effective visualizations of text analysis results
- Will learn to implement machine learning models for NLP tasks in R
- Will master techniques for processing and analyzing large text sets
- Will gain practical experience in creating reports and dashboards to present text analysis results
Who is this training for?
Prerequisites
- Familiarity with the R environment and tidyverse
- Basic statistical knowledge
- Experience in data analysis
- Understanding the basics of machine learning
Training program
Text data manipulation in the tidyverse
- Text preprocessing and cleaning
- Text corpora and their analysis
- Advanced regular expressions
- Statistical analysis of the text
- Topic modeling (topic modeling)
- Sentiment and emotion analysis
Measures of text similarity
- Visualization of text data
- Machine learning in NLP
- Text classification in R
- Word embeddings and doc2vec
- Integration with deep learning
- Validation of language models
Practical applications
- Social media analysis
Document exploration
- Recommendation systems
Reporting of results
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the NLP: Natural Language Processing in R training for?
The target audience includes data analysts working with R, data scientists specializing in text mining, and researchers using text analysis. Level: advanced.
How long is the NLP: Natural Language Processing in R training?
The training lasts 3 days. It is delivered online or on-site.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
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